Robust optimization of multivariable feedback systems with time-varying nonlinear uncertainties |
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| Authors: | MAAN-HUANG TU CHIH-MIN LIN YU-PING LIN |
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| Affiliation: | 1. Institute of Electronics , National Chiao-Tung University , 75 Po-Ai Street, Hsin-Chu, Taiwan, 30039, Republic of China;2. Chung-Shan Institute of Science and Technology , P.O. Box 90008-6-5, Lung-Tan, Tao-Yuan, Taiwan, 32500, Republic of China;3. Department of Control Engineering , National Chiao-Tung University , 75 Po-Ai Street, Hsin-Chu, Taiwan, 30039, Republic of China |
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| Abstract: | A design criterion is developed to achieve the input-output decoupling of multivariable feedback systems and the robust stabilization of systems with time-varying nonlinear uncertainties. Moreover, an effective design algorithm is derived to achieve the robust optimization of multivariable feedback systems subjected to time-varying nonlnear uncertainties. The theory of minimum H∞ -norm and the optimal interpolation technique are employed to solve this robust optimization problem. Since the requirements of internal stability are satisfied, this design algorithm performs appropriately, even if the plant is unstable and/or non-minimum phase. From the result of the robust optimization, we can predict the maximum sector bounds of nonlinear uncertainties that can be tolerated in the multivariable feedback system. |
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